{
  "bids_model_version": "1.0.0",
  "description": "NARPS Analysis model",
  "edges": [
    {
      "destination": "subject",
      "source": "run"
    },
    {
      "destination": "positive",
      "source": "subject"
    },
    {
      "destination": "negative-loss",
      "filter": {
        "contrast": [
          "loss"
        ]
      },
      "source": "subject"
    },
    {
      "destination": "between-groups",
      "filter": {
        "contrast": [
          "loss"
        ]
      },
      "source": "subject"
    }
  ],
  "input": {
    "subject": [
      "001"
    ],
    "task": "MGT"
  },
  "name": "NARPS",
  "nodes": [
    {
      "dummy_contrasts": {
        "contrasts": [
          "trials",
          "gain",
          "loss"
        ],
        "test": "t"
      },
      "group_by": [
        "run",
        "subject"
      ],
      "level": "Run",
      "model": {
        "type": "glm",
        "x": [
          "trials",
          "gain",
          "loss",
          "demeaned_RT",
          1
        ]
      },
      "name": "run",
      "transformations": {
        "instructions": [
          {
            "binarize": true,
            "input": [
              "gain"
            ],
            "name": "Threshold",
            "output": [
              "trials"
            ]
          },
          {
            "demean": true,
            "input": [
              "gain",
              "loss",
              "RT"
            ],
            "name": "Scale",
            "output": [
              "gain",
              "loss",
              "demeaned_RT"
            ],
            "rescale": false
          },
          {
            "input": [
              "trials",
              "gain",
              "loss",
              "demeaned_RT"
            ],
            "model": "spm",
            "name": "Convolve"
          }
        ],
        "transformer": "pybids-transforms-v1"
      }
    },
    {
      "dummy_contrasts": {
        "test": "t"
      },
      "group_by": [
        "subject",
        "contrast"
      ],
      "level": "Subject",
      "model": {
        "type": "meta",
        "x": [
          1
        ]
      },
      "name": "subject"
    },
    {
      "dummy_contrasts": {
        "test": "t"
      },
      "group_by": [
        "contrast",
        "group"
      ],
      "level": "Dataset",
      "model": {
        "x": [
          1
        ]
      },
      "name": "positive"
    },
    {
      "contrasts": [
        {
          "condition_list": [
            1
          ],
          "name": "negative",
          "test": "t",
          "weights": [
            -1
          ]
        }
      ],
      "group_by": [
        "contrast",
        "group"
      ],
      "level": "Dataset",
      "model": {
        "x": [
          1
        ]
      },
      "name": "negative-loss"
    },
    {
      "contrasts": [
        {
          "condition_list": [
            "C(group)[T.equalRange]",
            "C(group)[T.equalIndifference]"
          ],
          "name": "range_vs_indiference",
          "test": "t",
          "weights": [
            1,
            -1
          ]
        }
      ],
      "group_by": [
        "contrast"
      ],
      "level": "Dataset",
      "model": {
        "formula": "0 + C(group)",
        "x": [
          1,
          "group"
        ]
      },
      "name": "between-groups"
    }
  ]
}

• Level: run
• Group By: run, subject
• Model:
  • X: trials, gain, loss, demeaned_RT, 1
  • Type: glm

A report was generated for each node instance. All but the first are collapsed, but each should be inspected.